Context Cloud
Give Claude Code or Cursor persistent, typed memory and optional team workspaces so context survives sessions and tools.
Overview
Context Cloud is a Build-phase MCP server that provides persistent typed AI memory and team workspaces accessible from multiple coding agents.
What is this MCP server?
- Persistent AI memory with typed knowledge chunks
- Shared team workspaces for collaborative context
- SSE remote at api.contextcloud.pro plus npx @contextcloud/mcp-client stdio
- Cross-tool support via MCP protocol (v0.1.8)
- Package version 0.1.8 (@contextcloud/mcp-client)
- Two transports: SSE remote and npm stdio
- Website: contextcloud.pro
What problem does it solve?
Agents forget prior decisions between sessions, so solo builders waste time re-uploading context and misalign on project facts.
Who is it for?
Solo builders or tiny teams who use more than one AI IDE and want one memory layer instead of scattered chat exports.
Skip if: Developers who only need ephemeral in-chat context or who want a self-hosted-only memory stack with no cloud account.
What do I get? / Deliverables
After connecting SSE or npx stdio MCP, your agent reads and writes durable knowledge chunks that stay available across tools and teammates.
- Reusable typed memory chunks wired into agent sessions
- Optional shared workspace context for collaborators
- Single memory layer across SSE remote or local stdio MCP
Recommended MCP Servers
Journey fit
Persistent cross-tool memory is core agent infrastructure you set up while building the product, not a one-off launch tactic. Context Cloud is explicitly cross-tool MCP memory—squarely agent-tooling rather than a single frontend feature.
How it compares
Hosted persistent memory MCP, not a local RAG indexer over repository files.
Common Questions / FAQ
Who is Context Cloud for?
Indie builders and small teams using MCP agents who need memory that persists across sessions and optionally syncs in a shared workspace.
When should I use Context Cloud?
Use it while building agent-heavy workflows or when you repeatedly onboard the same agent on architecture, conventions, and product decisions.
How do I add Context Cloud to my agent?
Point your MCP client at the SSE URL https://api.contextcloud.pro/mcp/protocol or run npx @contextcloud/mcp-client for stdio transport.